Simulation of Cardiac Devices & Drugs for in-silico Testing and Certification

Livrables

Modelling & personalisation survey

Reports that gathers input from all partners in order to standardize models input & output.

Report on global standardisation

Specification document on the chosen formalism for standardized modelling and personalization.

Fluid simulations with optimised boundary conditions

Report on the personalized simulation of blood flows.

Report on the standardised models for LAAO devices

Description of the standardized simulation for the second use-case.

Description of biomarkers for drug safety, efficacy & cardiotoxicity

Reports on biomarkers used to evaluate drug safety, efficacy & cardiotoxicity.

Software API for pharmacokinetics

Specifications of the standardized interface for pharmacokinetics simulations for drugs specific to the project.

Report on the standardised models for interventional devices

Description of the standardized simulation for the first use-case.

Communication toolkits for physicians & patient organisations

First report on the exploitation strategy and market assessment for the project outcome.

Report on the standardised models for drugs

Description of the standardized models and simulations for the third use-case.

Dissemination and Communication strategy plan

Report on the communication and dissemination activities strategy for the project.

Report on the in-silico trial of pacing leads & catheters

Report on the results of the in-silico trials run for the first use-case.

Intellectual Property management plan

Document to detail the IP management

Report on the in-silico trial of drug efficacy & cardiotoxicity

Report on the results of the in-silico trials run for the third use-case.

Cloud-based platform for pacing device simulation

Demonstration of the integration of the first use-case into the cloud platform.

Cloud-based platform for drugs simulation

Demonstration of the integration of the third use-case into the cloud platform.

Cloud-based platform for LAAO simulation

Demonstration of the integration of the second use-case into the cloud platform.

Demonstration of several catheters simulated and real ones

Demonstrator of catheter navigation within the simulator.

Demonstrator of simulation of drug effects in cellular and 3D models

Demonstration of simulation results for the third use-case.

Database of fluid simulations in virtual population

Demonstrator of computer models for device planning.

Data Management Plan

Document to detail the data management plan in particular personal data protection

Database of virtual human cardiac models with drug interaction

Open-access database of detailed cardiac models for drug interaction simulation

Website and online presence

Project website and social media accounts online.

Publications

Evaluation of cinematic volume rendering open-source and commercial solutions for the exploration of congenital heart data

Auteurs: Irum Baseer, Israel Valverde, Abdel H. Moustafa, Josep Blat, Oscar Camara
Publié dans: IEEE Visualization and Visual Analytics (VIS), 2023, ISSN 2331-8422
Éditeur: IEEE
DOI: 10.1109/vis54172.2023.00024

Modeling Cardiac Stimulation by a Pacemaker, with Accurate Tissue-Electrode Interface

Auteurs: Pannetier, Valentin and Leguèbe, Michael and Coudière, Yves and Walton, Richard and Dhiver, Philippe and Feuerstein, Delphine and Amaro, Diego
Publié dans: Functional Imaging and Modeling of the Heart, 2023, Page(s) 194 - 203, ISBN 978-3-031-35302-4
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-35302-4_20

In-Silico Analysis of the Influence of Pulmonary Vein Configuration on Left Atrial Haemodynamics and Thrombus Formation in a Large Cohort

Auteurs: Jordi Mill, Josquin Harrison, Benoit Legghe, Andy L. Olivares, Xabier Morales, Jerome Noailly, Xavier Iriart, Hubert Cochet, Maxime Sermesant, Oscar Camara
Publié dans: International Conference on Functional Imaging and Modeling of the Heart, FIMH 2021, Numéro Lecture Notes in Computer Science book series (LNIP, volume 12738), 2021, Page(s) 605-616, ISBN 978-3-030-78710-3
Éditeur: Springer, Cham
DOI: 10.1007/978-3-030-78710-3_58

Omecamtiv Mecarbil Improves Contraction Behaviour in a 3D Electromechanical Tissue Model of Heart Failure

Auteurs: Ilsbeth van Herck, Maria Teresa Mora, Jordi Llopis-Lorente, Henrik Finsberg, Cécile Daversin Catty , Javier Saiz, Beatriz Trenor, Hermenegild Arevalo, Samuel Wal
Publié dans: Computing in Cardiology 2022, Numéro 49, 2022
Éditeur: IEEE
DOI: 10.22489/cinc.2022.033

In Silico Evaluation of New Approaches in Cardiac Resynchronization Therapy

Auteurs: Cristóbal R Ruiz, , Juan F Gómez, Eduardo Castellanos, Jesús Almendral, Beatriz Trenor
Publié dans: Computing in Cardiology 2022, 2022
Éditeur: IEEE
DOI: 10.22489/cinc.2022.102

Simulation Study of the Protective Effect of Drugs in Acute Myocardial Ischemia

Auteurs: Ander Loidi, José M Ferrero
Publié dans: Computing in Cardiology 2022, 2022
Éditeur: IEEE
DOI: 10.22489/cinc.2022.044

Geometric Deep Learning for the Assessment of Thrombosis Risk in the Left Atrial Appendage

Auteurs: Xabier Morales, Jordi Mill, Guillem Simeon, Kristine A. Juhl, Ole De Backer, Rasmus R. Paulsen, Oscar Camara
Publié dans: International Conference on Functional Imaging and Modeling of the Heart, FIMH 2021, Numéro Lecture Notes in Computer Science, vol 12738, 2021, Page(s) 639-649, ISBN 978-3-030-78710-3
Éditeur: Springer
DOI: 10.1007/978-3-030-78710-3_61

Simulación de los efectos de fármacos antiarrítmicos en la electrofisiología auricular

Auteurs: Puche-García, Violeta; Romero Pérez, Lucia; Saiz Rodríguez, Francisco Javier
Publié dans: reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia, Numéro 2, 2022, ISBN 978-84-09-45972-8
Éditeur: Mendeley

Using Computational Modelling to Define the Ideal Characteristics of Antiarrhythmic Drugs in Acute Ischemia

Auteurs: Ander Loidi, José M Ferrero
Publié dans: Computing in Cardiology 2022, Numéro 49, 2022
Éditeur: IEEE
DOI: 10.22489/cinc.2022.062

Impact of Blood Rheological Strategies on the Optimization of Patient-Specific LAAO Configurations for Thrombus Assessment.

Auteurs: Albors, C., Olivares, A. L., Iriart, X., Cochet, H., Mill, J., & Camara, O
Publié dans: Lecture Notes in Computer Science, Numéro 13958, 2023, ISBN 978-3-031-35302-4
Éditeur: SPRINGER LINK
DOI: 10.1007/978-3-031-35302-4_50

In-silico Analysis of Device-Related Thrombosis for Different Left Atrial Appendage Occluder Settings

Auteurs: Eric Planas, Jordi Mill, Andy L. Olivares, Xabier Morales, Maria Isabel Pons, Xavier Iriart, Hubert Cochet, Oscar Camara
Publié dans: International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2021, Numéro Lecture Notes in Computer Science book series (LNIP, volume 13131), 2022, Page(s) 160-168, ISBN 978-3-030-93722-5
Éditeur: Springer, Cham
DOI: 10.1007/978-3-030-93722-5_18

Unsupervised Machine Learning Exploration of Morphological and Haemodynamic Indices to Predict Thrombus Formation in the Left Atrial Appendage

Auteurs: Marta Saiz-Vivó, Jord Mill, Josquin Harrison, Guillermo Jimenez-Pérez, Benoit Legghe, Xavier Iriart, Hubert Cochet, Gemma Piella, Maxime Sermesant & Oscar Camara
Publié dans: Lecture Notes in Computer science, Numéro 13593, 2023, ISSN 1611-3349
Éditeur: ACM DIGITAL LIBRARY
DOI: 10.1007/978-3-031-23443-9_19

Computational Study of Drug Effects on Different Atrial Fibrillation Stages

Auteurs: Violeta Puche-García, Lucía Romero, Javier Saiz
Publié dans: Computing in Cardiology 2023, Numéro 50, 2023, ISSN 2325-887X
Éditeur: IEEE
DOI: 10.22489/cinc.2023.355

A causal discovery approach for streamline ion channels selection to improve drug-induced TdP risk assessment

Auteurs: Safaa Al-Ali, Jordi Llopis-Lorente, Maria Teresa Mora, Maxime Sermesant, Beatriz Trénor, Irene Balelli
Publié dans: 2023 Computing in Cardiology (CinC), Numéro 50, 2023, Page(s) 1-4
Éditeur: IEEE
DOI: 10.22489/cinc.2023.009

Analysis of the response of human iPSC-derived cardiomyocyte tissue to ICaL block. A combined in vitro and in silico approach

Auteurs: Dasí, A., Hernández-Romero, I., Gomez, J. F., Climent, A. M., Ferrero, J. M., & Trenor, B.
Publié dans: Dasí, A., Hernández-Romero, I., Gomez, J. F., Climent, A. M., Ferrero, J. M., & Trenor, B., Numéro Volume 137, October 2021, 104796, 2021, ISSN 0010-4825
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2021.104796

Arrhythmogenic Effects of Genetic Mutations Affecting Potassium Channels in Human Atrial Fibrillation: A Simulation Study

Auteurs: Belletti R., Romero L., Martinez-Mateu L., Cherry Elizabeth M., Fenton F. H., Saiz J.
Publié dans: Frontiers in Physiology,, Numéro 12, 2021, ISSN 1664-042X
Éditeur: Frontiers Research Foundation
DOI: 10.3389/fphys.2021.681943

Mapping the use of computational modelling and simulation in clinics: A survey

Auteurs: Lesage, Raphaëlle; Van Oudheusden, Michiel; Schievano, Silvia; Van Hoyweghen, Ine; Geris, Liesbet; Capelli, Claudio
Publié dans: Frontiers in Medical Technology, Numéro 23, 2023, ISSN 2673-3129
Éditeur: Frontiers
DOI: 10.3389/fmedt.2023.1125524

Left atrial haemodynamic evaluation using 4D flow cardiac magnetic resonance imaging: application to hypertension and hypertrophic cardiomyopathy

Auteurs: X Morales Ferez, A Elsayed, D Zhao, F Loncaric, G Quill, K Gilbert, R Dunphy, M Ramos, A Doltra, M Sitges, B Lowe, A Young, M Nash, O Camara, B Bijnens
Publié dans: European Heart Journal, Numéro 44, 2023, ISSN 0195-668X
Éditeur: Oxford University Press
DOI: 10.1093/eurheartj/ehad655.240

Automatic modeling of dynamic drug-hERG channel interactions using three voltage protocols and machine learning techniques: A simulation study

Auteurs: Fernando Escobar, Julio Gomis-Tena, Javier Saiz, Lucía Romero
Publié dans: Computer Methods and Programs in Biomedicine, Numéro 226, 2022, ISSN 1872-7565
Éditeur: ELSEVIER
DOI: 10.1016/j.cmpb.2022.107148

Domain expert evaluation of advanced visual computing solutions and 3D printing for the planning of the left atrial appendage occluder interventions

Auteurs: Mill, J., Montoliu, H., Moustafa, A. H., Olivares, A. L., Albors, C., Aguado, A. M., ... & Camara, O
Publié dans: International journal of bioprinting, Numéro 9, 2023, ISSN 2424-8002
Éditeur: AccScience Publishing
DOI: 10.18063/ijb.v9i1.640

Prediction of Drug-Induced Arrhythmogenic Risk Using In Silico Populations of Models

Auteurs: Jordi Llopis-Lorente, Beatriz Trénor, Javier Saiz
Publié dans: Computing in Cardiology (CinC), Numéro Vol 48, 2021, Page(s) 1-4, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.23919/cinc53138.2021.9662679

VaMPy: An Automated and Objective Pipeline for Modeling Vascular Geometries

Auteurs: Henrik A. Kjeldsberg; Aslak W. Bergersen; Kristian Valen-Sendstad
Publié dans: Journal of Open Source Software, 2023, ISSN 2475-9066
Éditeur: Open Journals
DOI: 10.21105/joss.05278

simcardems: A FEniCS-based cardiac electro-mechanics solver

Auteurs: Henrik Nicolay Topnes Finsberg; Ilsbeth Gerarda Maria van Herck; Cécile Daversin-Catty; Hermenegild Arevalo; Samuel Wall
Publié dans: Journal of Open Source Software, 2023, ISSN 2475-9066
Éditeur: Open Journals
DOI: 10.21105/joss.04753

Uncertainty assessment of proarrhythmia predictions derived from multi‑level in silico models

Auteurs: Karolina Kopanska, Pablo Rodríguez‑Belenguer, Jordi Llopis‑Lorente, Beatriz Trenor, Javier Saiz, Manuel Pastor
Publié dans: Archives of Toxicology, Numéro 97, 2023, ISSN 1432-0738
Éditeur: Springer link
DOI: 10.1007/s00204-023-03557-6

Left Atrial Thrombus-Are All Atria and Appendages Equal?

Auteurs: Cresti A, Camara O
Publié dans: Interventional Cardiology Clinics, 2022, ISSN 2211-7458
Éditeur: Elsevier BV
DOI: 10.1016/j.iccl.2021.11.005

On The Importance of Fundamental Computational Fluid Dynamics Towards a Robust and Reliable Model of Left Atrial Flows: Is There More Than Meets the Eye?

Auteurs: Khalili, Ehsan; Daversin-Catty, C'ecile; Olivares, Andy L.; Mill, Jordi; Camara, Oscar; Valen-Sendstad, Kristian
Publié dans: International Journal for Numerical Methods in Biomedical Engineering, 2023, ISSN 2040-7939
Éditeur: John Wiley & Sons Ltd.
DOI: 10.48550/arxiv.2302.01716

Analysis of vulnerability to reentry in acute myocardial ischemia using a realistic human heart model.

Auteurs: Carpio, E. F., Gomez, J. F., Rodríguez-Matas, J. F., Trenor, B., & Ferrero, J. M.
Publié dans: Computers in Biology and Medicine., Numéro 141, 2021, ISSN 0010-4825
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2021.105038

Insights from an electro-mechanical heart failure cell model: Role of SERCA enhancement on arrhythmogenesis and myocyte contraction

Auteurs: Maria Teresa Mora, Antonio Zaza, Beatriz Trenor
Publié dans: Computer Methods and Programs in Biomedicine, Numéro 230, 2023, ISSN 2666-9900
Éditeur: ELSEVIER
DOI: 10.1016/j.cmpb.2023.107350

A verified and validated moving domain CFD solver with applications to cardiovascular flows

Auteurs: Kjeldsberg, Henrik A.; Sundnes, Joakim; Valen-Sendstad, Kristian
Publié dans: International Journal for Numerical Methods in Biomedical Engineering, 2023, ISSN 2040-7939
Éditeur: John Wiley & Sons Ltd.
DOI: 10.48550/arxiv.2305.15539

Application of Machine Learning to improve the efficiency of electrophysiological simulations used for the prediction of drug-induced ventricular arrhythmia

Auteurs: Pablo Rodriguez-Berenguer, Karolina Kopanska, Jordi Llopis-Lorente , Beatriz Trenor , Javier Saiz , Manuel Pastor.
Publié dans: Computer Methods and Programs in Biomedicine, Numéro 230, 2023, ISSN 2666-9900
Éditeur: ELSEVIER
DOI: 10.1016/j.cmpb.2023.107345

Considering population variability of electrophysiological models improves the assessment of drug-induced torsadogenic risk

Auteurs: Llopis-Lorente, J., Trenor, B., & Saiz, J.
Publié dans: Computer Methods and Programs in Biomedicine, Numéro Vol 221C June 2022, 2022, Page(s) 106934, ISSN 0169-2607
Éditeur: Elsevier BV
DOI: 10.1016/j.cmpb.2022.106934

Deep Learning Framework for Real-Time Estimation of in-silico Thrombotic Risk Indices in the Left Atrial Appendage

Auteurs: Xabier Morales Ferez; Jordi Mill; Kristine Aavild Juhl; Cesar Acebes; Xavier Iriart; Benoit Legghe; Hubert Cochet; Ole De Backer; Rasmus Reinhold Paulsen; Oscar Camara
Publié dans: Frontiers in Physiology, 2021, ISSN 1664-042X
Éditeur: Frontiers Research Foundation
DOI: 10.3389/fphys.2021.694945

Sensitivity Analysis of In Silico Fluid Simulations to Predict Thrombus Formation after Left Atrial Appendage Occlusion

Auteurs: Mill J, Agudelo V, Olivares AL, Pons MI, Silva E, Nuñez-Garcia M, Morales X, Arzamendi D, Freixa X, Noailly J, Camara O
Publié dans: Mathematics, 2022, ISSN 2227-7390
Éditeur: MDPI
DOI: 10.3390/math9182304

Scientific and regulatory evaluation of mechanistic in silico drug and disease models in drug development: Building model credibility

Auteurs: Flora T. Musuamba, Ine Skottheim Rusten, Raphaëlle Lesage, Giulia Russo, Roberta Bursi, Luca Emili, Gaby Wangorsch,Efthymios Manolis, Kristin E. Karlsson, Alexander Kulesza, Eulalie Courcelles, Jean- Pierre Boissel, Cécile F. Rousseau,Emmanuelle M. Voisin,Rossana Alessandrello, Nuno Curado, Enrico Dall’ara, Blanca Rodriguez, Francesco Pappalardo, Liesbet Geris
Publié dans: CPT Pharmacometrics Syst Pharmacol., Numéro 2021, 8 June, 2021, Page(s) 804-825, ISSN 2163-8306
Éditeur: Nature Publishing Group
DOI: 10.1002/psp4.12669

Sensitivity Analysis of Left Atrial Wall Modeling Approaches and Inlet/Outlet Boundary Conditions in Fluid Simulations to Predict Thrombus Formation

Auteurs: Albors, C., Mill, J., Kjeldsberg, H. A., Viladés Medel, D., Olivares, A. L., Valen-Sendstad, K., & Camara, O
Publié dans: Lecture Notes in Computer Science, Numéro 13593, 2023, ISSN 0302-9743
Éditeur: SPRINGER LINK
DOI: 10.1007/978-3-031-23443-9_17

Chapter 7 - Machine learning and biophysical models: how to benefit each other?

Auteurs: Nicolas Duchateau, Oscar Camara
Publié dans: Reduced Order Models for the Biomechanics of Living Organs Edited by: Francisco Chinesta, Elías Cueto, ... Jacques Ohayon, 2023, Page(s) 147-164, ISBN 978-0-323-89967-3
Éditeur: ELSEVIER
DOI: 10.1016/b978-0-32-389967-3.00009-3

Towards Real-Time Optimization of Left Atrial Appendage Occlusion Device Placement Through Physics-Informed Neural Networks.

Auteurs: Morales, X., Albors, C., Mill, J., & Camara, O.
Publié dans: Lecture Notes in Computer Science, Numéro 13593, 2022, ISSN 1611-3349
Éditeur: Springer
DOI: 10.1007/978-3-031-23443-9_4

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